Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.8K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.8K
Modeling and Similitude01:12

Modeling and Similitude

329
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
329
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

265
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
265
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Synthetic Biology02:55

Synthetic Biology

5.0K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.0K
Stereotype Content Model02:16

Stereotype Content Model

14.9K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.9K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Personal Utility Without Clinical Guardrails: Toward a Governance Framework for Direct-to-Consumer Biological Futures.

The American journal of bioethics : AJOB·2026
Same author

The scope of biological possibility expands<b>On the Future of Species</b> <i>Adrian Woolfson</i> MIT Press, 2026. 480 pp.

Science (New York, N.Y.)·2026
Same author

Against What Standard? Why AI Therapists Face Impossible Expectations.

The American journal of bioethics : AJOB·2026
Same author

From Frankenstein to Astro Boy: A Research Agenda for Understanding Cultural Narratives, Media Representation, and the Ethics of Neurotechnology Governance.

AJOB neuroscience·2025
Same author

Frankenstein and the problem of abandonment<b>Frankenstein; or, The Modern Prometheus</b> <i>Mary Shelley</i> Lackington, Hughes, Harding, Mavor, & Jones, 1818. 280 pp.

Science (New York, N.Y.)·2025
Same author

Metasurface-integrated atomic magnetometer using single-frequency dual beams.

Nanophotonics (Berlin, Germany)·2025

Video Experimental Relacionado

Updated: Sep 10, 2025

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

160

Inteligencia artificial generativa en la era del metaverso: una revisión de modelos y aplicaciones

Han Zhou1, Xinyi Chen1, Jin Li1

  • 1School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.

Research (Washington, D.C.)
|August 21, 2025
PubMed
Resumen

El contenido generado por inteligencia artificial (AIGC) puede acelerar el desarrollo del Metaverso al crear activos digitales de manera eficiente. Sin embargo, alinear la tecnología AIGC con las necesidades de Metaverse es crucial para ofrecer experiencias de usuario verdaderamente inmersivas.

Más Videos Relacionados

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

681
Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

13.4K

Videos de Experimentos Relacionados

Last Updated: Sep 10, 2025

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

160
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

681
Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

13.4K

Área de la Ciencia:

  • Ciencias de la computación
  • Realidad virtual
  • Inteligencia artificial

Sus antecedentes:

  • El Metaverso, un entorno virtual 3D inmersivo, se enfrenta a desafíos con la calidad del contenido y la experiencia del usuario.
  • El contenido generado por inteligencia artificial (AIGC) ofrece una solución para la creación de contenido digital eficiente y rentable.

Objetivo del estudio:

  • Para investigar la relación entre el Metaverso y el AIGC.
  • Analizar las tecnologías de aprendizaje profundo que apoyan el AIGC en el contexto del Metaverso.

Principales métodos:

  • Examinó las arquitecturas centrales de redes neuronales de IA generativa.
  • Realizó análisis cualitativos y cuantitativos de las ventajas, limitaciones y limitaciones de hardware de AIGC.
  • Revisó las aplicaciones actuales de Metaverse, centrándose en la atención médica y la educación.

Principales resultados:

  • AIGC mejora significativamente la creación y personalización de contenido de Metaverse.
  • Las tecnologías de aprendizaje profundo sustentan AIGC, pero enfrentan limitaciones de hardware.
  • Las aplicaciones actuales de Metaverse son prometedoras pero requieren un mayor desarrollo.

Conclusiones:

  • AIGC es un facilitador clave para el desarrollo de Metaverse, mejorando el contenido y la participación del usuario.
  • Una alineación más estrecha entre la tecnología AIGC y las necesidades de desarrollo del Metaverso es esencial para una inmersión óptima.
  • La sinergia de IA, gráficos por computadora y HCI en la integración AIGC-Metaverse redefine la interacción y la creatividad digitales.